The project to develop a new energy autonomous system based on micro (photo)electrochemical sensors and ultra-thin solar cells (UTSC), for detection of different ionic species in natural water sources. It focuses on three directions: new materials with high efficiency in solar energy harvesting and fabrication of small UTSC together with the power stabilizing device able to supply the needed voltage to the sensors and electronics module; new microsensors and materials for detection of nitrites/nitrates and heavy metals in water; low cost autonomous energy system integration and fabrication.

Project Objectives: The goal of this project is obtaining oxide films (TiO2, SiO2) functionalized with embedded GeSi NPs, having good photoconductive properties in VIS-NIR for optical sensors to be used in environmental applications, to evaluate the slippery road conditions causing traffic accidents by spectrally discriminating between dry, wet and icy road surfaces to enhance collision avoidance. These films have selective spectral sensitivity in the ranges of reflection/ absorption bands of dry, wet and icy asphalt, and consequently can discriminate between these different road conditions.

The main objective of the RoboCom++ proposal is to lay the foundation for a future global interdisciplinary research programme (e.g., a FET-Flagship project) on a new science-based transformative Robotics, to be launched by the end of the H2020 Programme. RoboCom++ will gather the community and organise the knowledge necessary to rethink the design principles and fabrication technologies of future robots.

The wearable sensor platform proposed in CONVERGENCE is centred on energy efficient wearable proof-of-concepts at system level exploiting data analytics developed in a context driven approach (in contrast with more traditional research where the device level research and the data analytics are carried out on separate path, rarely converging). Here we choose realistic wearable form factors for our energy efficient systems such as wrist-based and patch-based devices.

We propose the development of a sensor system for the early detection of hypertensive disorders of pregnancy such as pre-eclampsia and other blood pressure as well. The system will consist of a bracelet that incorporates a pressure sensor for continuous recording of the blood pressure wave form across the wrist artery. The resulting data will be sent via wireless connection to a smart phone or a computer. A software application will be developed to predict early signs of disorders.

Network of nano research infrastructures in the Danube region (DNMF_net)

Project supported by the German Federal Ministry of Education and Research (BMBF) under the "ideas competition for the establishment and development of innovative R&D networks with partners in the Danube States", 2017-2018